Sr Dir Bureau Alternative Data jobs at Paypal in France

Essential Responsibilities:

• Liaise with media agencies on launch plans, optimization roadmaps, and budget alignment
• Work with creative teams to define roadmaps, review proposals, and ensure seamless execution
• Activate co-branding campaigns, product launches, and report results to leadership
• Drive churn experimentation strategy, including ideation, testing, and customer experience evaluation
• Write experiment briefs, testing plans, and coordinate end-to-end implementation
• Monitor experiments post-launch, identify insights, and optimize in-flight results
• Manage budget reporting, including agency costs and incentive payouts, for all campaigns

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities:

• Lead global development and implementation of marketing strategies for PayPal Buy Now Pay Later products, including lifecycle, incentives, education, and trigger-based campaigns aligned with company objectives and market needs.

• Design, execute, and optimize end-to-end marketing campaigns and experiments for diverse global markets, leveraging rigorous measurement frameworks, reliable tracking, and data-driven briefs.

Preferred Qualifications

• Experience working on Buy Now Pay Later or financial products

• Comfortable in a fast paced and fluid working environment

• A natural problem-solver, seeks to find ways around roadblocks to execution

• Passionate about creating best in class marketing content, focused on the customer experience with everything they create

• Enjoys working with data to gather insights and develop actionable stories

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Support planning and forecasting processes
• Review business performance on regular cadences (weekly, monthly,quarterly)Collaboratewith stakeholders to gather inputs and summarize insights
• Produce executive-level presentations
• Work closely with the finance and technical teams to drive process and system improvements
• Facilitate discussions with various stakeholders, manage expectations, and collaborate cross-functionally
• Consult with finance leads to review and discuss key issues, risks, and dependencies for assigned initiatives
• Document and escalate potential risks/issues, assist in developing mitigation strategies, and support their implementation

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Strong proficiency in SQL and demonstrated ability to efficiently query and manipulate complex databases is preferred
• Experience supporting a Sales organization is preferred

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Perform data analysis using specialized domain knowledge and developed business expertise
• Lead projects and/or programs within the Experience Research family with moderate scope impacting the Product function
• Utilize research methodologies to optimize user experiences using general parameters under broad supervision
• May act as a subject matter resource for entry level and developing colleagues
• Share best practices and insights with team members to foster a collaborative research environment.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Bachelor's degree in Data Analytics, Psychology, Human-Computer Interaction, Statistics, Economics, or related quantitative field, Masters or PhD nice to have

• Strong knowledge and application of statistical analysis and quantitative research methods
• Proficiency in analytical tools including SQL, Python, R, and visualization platforms like Tableau or Power BI
• Experience with customer experience platforms and survey tools (Qualtrics)
• Understanding of experimental design, A/B testing, and survey methodologies
• Proven ability to design, execute, and analyze quantitative research studies aimed at measuring customer experience
• Experience translating datasets into insights and actionable recommendations
• Familiarity with measurement frameworks and research operations
• Strong communication skills with ability to work effectively across teams
• Demonstrated ability to influence product teams through data-driven insights
• Experience collaborating with peers and supporting research initiatives
• Ability to present quantitative findings in clear, accessible formats for diverse audiences

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Collaborate with internal teams to influence the quality and effectiveness of internal control processes.
• Evaluate and recommend alternative solutions to improve internal control systems.
• May act as a subject matter resource for entry level and developing colleagues
• Conduct assessments of internal control effectiveness and compliance.
• Engage in continuous improvement initiatives to enhance internal control practices.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Job Description

• Responsible for the execution of risk management activities within the Global Legal Organization in collaboration with the Business Unit Compliance Officer (BUCO)
• Conduct end to end Issue Management activities in accordance with policy including identification, documentation, and timely remediation
• Work with cross-functional BRCLs (Business Risk and Control Partners) when triaging potential gaps or breakdowns as identified by Legal
• Create and maintain risk and control inventories for Global Legal processes
• Support Legal process owners in creating and maintaining relevant Policies and Procedures
• Identify control gaps and remediate risks for new regulatory changes impacting Legal
• Drive execution of Incident and Risk and Compliance Plan (RCP) deliverable remediation
• Participate and help drive BCP Tabletop discussions and keep BCP records and reporting evergreen
• Maintenance of Risk Management tool (Service Now) data for areas of responsibility
• Manage audit, testing, and exam activities impacting Legal
  • Understand exam scope and analyze impact for each business unit
  • Respond to Exam Engagements under the direction and approval of their direct management team (e.g., Second Line of Defense reviews, Internal Audits, Regulatory Examinations)
  • Facilitate review of potential findings from audits and testing with Legal stakeholders
  • Participate in the gathering of audit documentation to address findings and help lead stakeholder meetings in preparation of audit responses.
  • Support drafting of audit issues and remediation plans within the prescribed timelines and obtain the appropriate approval
• Project/Program Management experience
• Ability to execute task with accuracy and exemplify attention to detail
• Create, maintain, and enhance internal metrics, reporting documentation, and monthly dashboards
• Assist in procedural updates

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and implement data science models and algorithms.
• Analyze and interpret complex data sets.
• Ensure data quality and integrity.
• Collaborate with stakeholders to understand data requirements.
• Optimize data processes for efficiency and performance.
• Perform advanced statistical analysis and reporting.

Minimum Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Summary:
What you need to know about the role
• Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth

• You will work with a team of global risk professionals focusing on managing the Americas acquisition strategies to support the growth of Small Medium Business (SMB) line of business Globally

Meet our team:
• This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks.

Your way to Impact

• You will provide solutions to address tactical and strategic business problems with your strong analytical skills and support the profitable growth of SMB portfolio.
• You will work closely with business stakeholders to develop an acquisition roadmap to support profitable business growth and trade-offs. Defining team objectives and executing on those objectives to drive profitable growth across the different regions, with particular focus in the American region

Your day-to-day

In your day-to-day role you will:

• Conduct thorough analysis with all available data tools and provide detailed insights which can be transformed into risk strategies that balances risk/reward trade-offs.
• Set up detailed portfolio monitoring to ensure there is no fraud pressure and work with peers to mitigate fraud with a high level of urgency.
• Continuously manage credit exposure and conduct sensitivity testing to optimize strategy.
• Work closely to evaluate internal models and implement them in our risk strategies.
• Partner with product and platform team to execute risk strategies and conduct A/B testing to optimize onboarding funnel.
• Be the voice of risk management and help solve complex problems within defined risk box

What do you need to bring

• 2+ years of experience in financial technology, banking, or payments in developing and implementing risk strategies to mitigate losses.
• Strong knowledge in data analytics to extract, analyze and transform data into risk strategy recommendations for profitable business growth.
• Knowledge of existing/emerging regulatory frameworks related to consumer and SMB acquisition.
• Having experience in a Fintech working with Product and Engineering organization is a plus
• Well organized, with the ability to thrive in a fast-paced work environment and manage numerous projects simultaneously under deadline pressure
• A high level of intellectual, professional, and interpersonal agility/flexibility, combined with stronganalytical/problem-solvingskills
• Demonstrated ability to build/maintain relationships with key stakeholders to execute the risk roadmap.
• Strong communication skills in explaining complex matters in a simple and clear manner.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

• Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Strong knowledge of statistical and machine learning techniques, including but not limited to logistic regression, time-series modeling, random forests, support vector machines, gradient boosting (e.g., XGBoost), and deep learning architectures (e.g., CNNs, RNNs).
• Proficiency in programming and big-data technologies, with hands-on experience in tools such as Python (Scikit-learn, TensorFlow), SQL, Hadoop, and Spark.
• Relevant modeling experience in one or more of the following domains: credit risk scoring, fraud detection, financial forecasting, or marketing analytics - gained through industry or academic research.
• Strong collaboration and communication skills, with the ability to work effectively both independently and as part of a cross-functional team.
• Ability to articulate complex technical concepts clearly to non-technical stakeholders and build constructive working relationships across functions.

Preferred Qualifications

• Experience with Large Language Models (LLMs), Agentic AI, or related generative AI applications.
• Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Belonging at PayPal:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the design, architect and execution of large-scale learning programs that align with business objectives, ensuring that each program addresses specific learner needs and organizational goals.
• Collaborate with multiple business stakeholders and cross-functional teams to assess strategic learning needs, develop impactful learning solutions, and optimize employee performance across the organization.
• Provide thought leadership to Learning & Development team members, ensuring high-quality content creation and alignment with the overall learner experience and program objectives.
• Evaluate the impact and effectiveness of learning programs through in-depth analysis of feedback, performance metrics, and business outcomes, making strategic recommendations for continuous improvement and program scaling.
• Lead the development of the learning and development strategy, contributing to decision-making, resource allocation, and program prioritization to support long-term organizational growth.
• Manage the budget for supported learning programs, coordinate with external vendors, and ensure cost-effective sourcing of learning resources and tools.

Expected Qualifications:

• 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Outstanding facilitation and communication skills (in-person and virtual).
• Experience managing learning program logistics and supporting enterprise programs
• Demonstrated ability to consult and influence across stakeholder groups
• Familiarity with learning technologies and platforms
  

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please